COCO to UVO.
First, we utilize UVO [1]}, which covers many categories outside COCO as 57% object instances do not belong to any of the 80 COCO classes. Since UVO is based on Youtube videos, the appearance is very different from COCO , some videos are egocentric views and have significant motion blur. We test models trained on the COCO-VOC split or the whole COCO.
The validation split of UVO is used to measure the performance.
